anything-llm
privateGPT
| anything-llm | privateGPT | |
|---|---|---|
| 21 | 1 | |
| 12,782 | 50,198 | |
| 24.4% | - | |
| 9.8 | - | |
| 5 days ago | about 2 months ago | |
| JavaScript | Python | |
| MIT License | Apache License 2.0 |
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anything-llm
- AnythingLLM: Chat with your documents using any LLM
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Ask HN: How do I train a custom LLM/ChatGPT on my own documents in Dec 2023?
anything-llm looks pretty interesting and easy to use https://github.com/Mintplex-Labs/anything-llm
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local/private llm based chatbot using free/open source tools.
You can just fork AnythingLLM for a very advanced starting point or just straight rip the code ive already written to build yours 🚀
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Some solutions that work on older intel macs
AnythingLLM also works on an Intel Mac (i develop it on an intel mac) and can use any GGUF model to do local inferencing. Includes document embedding + local vector database so i can do chatting with documents and even coding inside of it. Pretty much a ChatGPT equilivent i can run locally via the repo or docker.
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What tools or programs have you made or are working on?
If you want a UI you can leverage https://github.com/Mintplex-Labs/anything-llm and do all your coding in localhost with a locally running model.
- Web interface for Azure Open Ai
- DIY custom AI chatbot trained on your company data
privateGPT
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PrivateGPT exploring the Documentation
# install developer tools xcode-select --install # create python sandbox mkdir PrivateGTP cd privateGTP/ python3 -m venv . # actiavte local context source bin/activate # privateGTP uses poetry for python module management privateGTP> pip install poetry # sync privateGTP project privateGTP> git clone https://github.com/imartinez/privateGPT # enable MPS for model loading and processing privateGTP> CMAKE_ARGS="-DLLAMA_METAL=on" pip install --force-reinstall --no-cache-dir llama-cpp-python privateGTP> cd privateGPT # Import configure python dependencies privateGTP> poetry run python3 scripts/setup # launch web interface to confirm operational on default model privateGTP> python3 -m private_gpt # navigate safari browser to http://localhost:8001/ # To bulk import documentation needed to stop the web interface as vector database not in multi-user mode privateGTP> [control] + "C" # import some PDFs privateGTP> curl "https://docs.intersystems.com/irislatest/csp/docbook/pdfs.zip" -o /tmp/pdfs.zip privateGTP> unzip /tmp/pdfs.zip -d /tmp # took a few hours to process privateGTP> make ingest /tmp/pdfs/pdfs/ # launch web interface again for query documentation privateGTP> python3 -m private_gpt
What are some alternatives?
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
LLMStack - No-code platform to build LLM Agents, workflows and applications with your data
gpt4all - gpt4all: run open-source LLMs anywhere
h2ogpt - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
awesome-ml - Curated list of useful LLM / Analytics / Datascience resources
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
CSharp-ChatBot-GPT - This repository contains a simple C# chatbot powered by OpenAI’s ChatGPT. The chatbot utilizes the RestSharp and Newtonsoft.Json libraries to interact with the ChatGPT API and process user input.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
ChainFury - 🦋 Production grade chaining engine behind TuneChat. Self host today!
langchain - 🦜🔗 Build context-aware reasoning applications